Training background

No matter which industry big data technology is applied in, its most fundamental advantage is its prediction ability. Users can accurately understand market development trends, user needs, industry trends and other aspects of data by using the prediction ability of big data, so as to formulate more suitable strategies and plans for the development of users' own enterprises. Through the prediction results of big data, enterprises can get the number of potential orders, and then directly enter the design and manufacturing of products and subsequent links.

Training object

Senior executives of manufacturing enterprises, factory directors, operation directors, heads of production management, equipment management, quality management, information systems and other relevant departments.

Training income

Master the application characteristics and basic algorithms of big data; Understand the architecture of industrial big data, preliminarily master the basic methods of big data analysis for various operation scenarios (prediction, equipment, quality, process, etc.) of the factory, and gradually realize the digitalization and intellectualization of factory management.

Training outline

1. Interpretation of intelligent manufacturing and industrial big data

The different nature of intelligent manufacturing strategies in Germany, the United States and China

Examples of industrial Internet and industrial big data application scenarios

Mode Innovation: case introduction of big data in garment industry

2. Industrial big data and its technical foundation

Four necessary technologies for operation management personnel: probability, algorithm, architecture and Application

3. Project implementation of industrial big data

Analysis of current hot spots and difficulties in the implementation of industrial big data

Correctly evaluate the expectations and technologies of big data project implementation

Implementation focus of industrial big data

  NOA|挪亚2022年课程计划.pdf